| >Meaning you could absolutely suck at your job or be incredible at it and you’d get nearly the same regards in either case. One of the things I don't like about statements like this said in a Data Science context, is that they are true outside of Data Science as well. Executives make big decisions, managers make smaller decisions, nobody can evaluate how good/bad they really were for months or years. Engineers build something amazing, or build a house of cards, nobody cares as long as the money people are happy, even if the business use case turns out to be wrong in the long run. >With a short-term focus they also won't really care, because they can still put these results in marketing materials and impress most outsiders as well. Forget Data Science, you see this in KPIs as well. Say a crappy metric has to be moved by Q2 next year and people will destroy the company to move it. I feel like Data Science is just one of those areas where you are exposed to a wider range of people and get to feel the full crapola of the insanity of working in a corporation. For lots of roles (e.g. Engineering) you get to hide in a hole behind layers of people and not see some of this insanity. |
It seems like there's a general apathy/nihilism that's growing in society, whereas by contrast my entire education from childhood up I was held to strict standards and reliably punished when I failed to meet them, and this was in US public schools (albeit a highly ranked school district) and a public university. That or I was just raised in a bubble, and the historical examples I referenced growing up and reference to this day are just a case of survivorship bias, and all the bullshit that was alongside them back in the day has simply been forgotten. I'm not sure, but it is disappointing how little people at large seem to give a shit. Maybe it's a side-effect of the obesity epidemic and people just have less energy or something